Figure 9From: Extracting novel information from neuroimaging data using neural fields(Left panel) Sensitivity analyses of synthetic data. This figure shows the conditional estimates of the inverse conduction speed parameter, υ. These estimates were obtained from simulated data sets generated using υ as per Table 1, with a log-scaling from −1 to 1. We illustrate the agreement between the true parameter value (dotted line) and its conditional estimate. The bars represent 90% conditional confidence intervals. (Right panel) Parameter estimates obtained using LFP data. We show here the conditional estimates (90% confidence intervals) of the neural field model parameters using empirical data from a single trial recording of auditory responses in the rat. The estimates lie close to the prior values (a log-scaling of zero), which were motivated by animal physiological studies [24].Back to article page